---
license: gpl-3.0
datasets:
- GonzaloA/fake_news
- mohammadjavadpirhadi/fake-news-detection-dataset-english
language:
- en
pipeline_tag: text-classification
library_name: pytorch
---

A classifier trained on around 70k news articles, aimed at distinguishing real news from fake news.
It is an EmbeddingBag-based text classifier made with PyTorch. Accuracy is 99.205%

Data used is [Gonzalo Álvarez's *Fake News*](https://huggingface.co/datasets/GonzaloA/fake_news) and [Mohammad Javad Pirhadi's *Fake News Detection Dataset (English)*](https://huggingface.co/datasets/mohammadjavadpirhadi/fake-news-detection-dataset-english).
I could not find any specific citation to use.

Check [GitHub](https://github.com/ShadowDeveloper/FakeNewsClassifier) for the training code and output log.